Paper Info
Title
A comparison study for displacement computation—Horn and Shunck's method versus March's method
Abstract
The aim of this study is to reveal the effectiveness of a displacement computation method proposed by March in 1988. In common with a method proposed by Horn and Shunck in 1981, March's method also utilizes the measure of the departure from smoothness in the computed displacement as a regularization term. However, these two method have a difference in the definition of the correspondence error between images. Horn and Shunck eliminated the second and higher order terms of spatial brightness variation, so that the correspondence error is defined as a linear model. On the other hand, March defined a non-linear model in which the second and higher order terms are preserved. In order to verify the difference between two methods experimentally, we compare two methods with simulation images. Consequently, it is shown that March's method gives more accurate displacement for non-linearity in the brightness variation and less computation cost.
Year
DOI
Venue
2001
10.1016/S0167-8655(01)00018-6
Pattern Recognition Letters
Keywords
Field
DocType
march's method,displacement computation,non-linear brightness variation,horn and shunck's method,comparison study,higher order,linear model
Linear model,Algorithm,Regularization (mathematics),Smoothness,Mathematics,Brightness,Computation
Journal
Volume
Issue
ISSN
22
6-7
Pattern Recognition Letters
Citations 
PageRank 
References 
2
0.65
8
Authors
3
Name
Order
Citations
PageRank
Yoshiki Mizukami1648.94
Taiji Sato241.24
Kanya Tanaka31812.75